This article systematically reviews the current research status as well as diagnosis and treatment strategies of traditional Chinese medicine （TCM） for gastroesophageal reflux disease （GERD）. Studies demonstrate that TCM， based on the "disease-syndrome combination" approach， exhibits multi-target advantages in alleviating symptoms of various GERD subtypes， promoting mucosal repair， regulating emotions， and facilitating the reduction of western medication. To address clinical challenges such as symptom overlap and limited therapeutic efficacy， strategies have been proposed including "treating different diseases with the same method" and integrated regulation based on viscera correlation. Future efforts should focus on elucidating the mechanisms of compound prescriptions， promoting TCM drug development under the "three-combination" evaluation framework that integrates TCM theory， human experience and clinical trial evidence， and optimizing integrated traditional and western medicine models to enhance GERD management.

Objective:To explore the association between circadian syndrome (CircS), metabolic syndrome (MetS) and mild cognitive impairment (MCI) in elderly rural adults in China.Methods:From March to September 2018, totally 5 765 participants aged 60 years or older from 52 villages in Yanlou Town, Yanggu County, Shandong Province were selected. The data included demographic, underlying disease and neuropsychological data were collected by questionaire survey. Having ≥3 of the following components was defined as MetS: elevated waist circumference, high triglycerides, low high-density lipoprotein cholesterol, elevated blood pressure and elevated fasting glucose. Having ≥4 of the following components was defined as CircS: short sleep (<6 h/d), depression and five other components which were used to define MetS, with elevated waist circumference as a mandatory item. MCI was diagnosed according to Petersen's criteria and further classified into amnestic MCI (aMCI) and non-amnestic MCI (naMCI) based on whether the memory domains impaired.Data were analyzed using multivariable Logistic regression and general linear regression models by R statistical software.Results:In the total sample ( n=4 898), 1 280 participants were diagnosed with MCI, of which 1 075 were aMCI and 205 were naMCI.Compared to the normal group, CircS alone was significantly associated with increased risks of MCI ( B=0.695, P=0.039) and aMCI ( B=0.782, P=0.024), as well as lower verbal fluency scores ( B=-0.244, P=0.045). No significant associations were found between MetS alone or both MetS and CircS and cognitive impairment( P>0.05). At the component level, short sleep and depression were associated with increased risks of MCI ( B=0.167, P=0.025; B=0.605, P<0.001) and aMCI ( B=0.185, P=0.020; B=0.600, P<0.001). Conclusion:Individuals with CircS are at a higher risk of cognitive impairment, CircS is more strongly associated with cognitive impairment than MetS, with short sleep duration and depressive symptoms potentially playing key roles.

Objective:To explore the association between circadian syndrome (CircS), metabolic syndrome (MetS) and mild cognitive impairment (MCI) in elderly rural adults in China.Methods:From March to September 2018, totally 5 765 participants aged 60 years or older from 52 villages in Yanlou Town, Yanggu County, Shandong Province were selected. The data included demographic, underlying disease and neuropsychological data were collected by questionaire survey. Having ≥3 of the following components was defined as MetS: elevated waist circumference, high triglycerides, low high-density lipoprotein cholesterol, elevated blood pressure and elevated fasting glucose. Having ≥4 of the following components was defined as CircS: short sleep (<6 h/d), depression and five other components which were used to define MetS, with elevated waist circumference as a mandatory item. MCI was diagnosed according to Petersen's criteria and further classified into amnestic MCI (aMCI) and non-amnestic MCI (naMCI) based on whether the memory domains impaired.Data were analyzed using multivariable Logistic regression and general linear regression models by R statistical software.Results:In the total sample ( n=4 898), 1 280 participants were diagnosed with MCI, of which 1 075 were aMCI and 205 were naMCI.Compared to the normal group, CircS alone was significantly associated with increased risks of MCI ( B=0.695, P=0.039) and aMCI ( B=0.782, P=0.024), as well as lower verbal fluency scores ( B=-0.244, P=0.045). No significant associations were found between MetS alone or both MetS and CircS and cognitive impairment( P>0.05). At the component level, short sleep and depression were associated with increased risks of MCI ( B=0.167, P=0.025; B=0.605, P<0.001) and aMCI ( B=0.185, P=0.020; B=0.600, P<0.001). Conclusion:Individuals with CircS are at a higher risk of cognitive impairment, CircS is more strongly associated with cognitive impairment than MetS, with short sleep duration and depressive symptoms potentially playing key roles.

Objective To investigate the mechanism of Kuijie Ankang Decoction in regulating immune,autophagy and intestinal flora in the treatment of ulcerative colitis(UC).Methods UC mouse model was established by free drinking with sodium dextran sulfate.The mice were randomly divided into blank control group,model group,Kuijie Ankang Decoction group,salazine sulfopyridine(SASP)group and 3-methyladenine(3-MA)group,with 12 mice in each group.Each drug group was given corresponding drugs for gavage,the blank control group and model group were given the same volume of distilled water for gavage for 7 days.The general condition of mice was observed and the disease activity index(DAI)was scored,the morphology of colon tissue was observed by HE staining,the contents of TNF-α,IL-1β,IL-6,IL-8 and IL-10 in colon tissue were detected by ELISA,the mRNA and protein expressions of LC3,Beclin-1 and p62 in colon tissue were detected by RT-qPCR and Western blot,respectively.16S rDNA sequencing was used to analyze the structure of intestinal flora.Results Compared with the blank control group,the mice in the model group showed a decrease in body mass,an increase in DAI score,a decrease in colon length,serious mucosal injury and inflammatory cell infiltration,the contents of TNF-α,IL-1β,IL-6 and IL-8 in colon tissue significantly increased(P<0.05,P<0.01),the content of IL-10 decreased(P<0.01),the mRNA expressions of LC3 and Beclin-1 in colon tissue decreased(P<0.05,P<0.01),the mRNA and protein expression of p62 increased(P<0.01),while the expressions of LC3Ⅱ/LC3Ⅰ and Beclin-1 proteins decreased(P<0.05,P<0.01).Compared with the model group,the body mass of mice in Kuijie Ankang Decoction group and SASP group increased(P<0.05),DAI score decreased(P<0.05),the colon length increased(P<0.05),the pathological damage of colon mucosa was alleviated,the contents of TNF-α,IL-1β,IL-6 and IL-8 in colon tissue decreased(P<0.05,P<0.01),the content of IL-10 increased(P<0.01),the expressions of LC3 and Beclin-1 mRNA in colon tissue increased(P<0.05,P<0.01),the expression of p62 mRNA and protein decreased(P<0.05,P<0.01),the expressions of LC3Ⅱ/LC3Ⅰand Beclin-1 protein increased(P<0.05,P<0.01).16S rDNA sequencing results showed that the diversity and evenness of the intestinal flora in the model group mice decreased,with a decrease in the relative abundance of Firmicutes,Actinobacteria and Patescibacteria(P<0.05),and an increase in the relative abundance of Bacteroidota,Verrucomicrobiota and Proteobacteria(P<0.05);the relative abundance of Bacilli and Coriobacteriia decreased(P<0.05),the relative abundance of Bacteroidia,Clostridia and Verrucomicrobiae increased(P<0.05);the relative abundance of Ligilactobacillus and Dubosiella decreased(P<0.05),the relative abundance of unclassified Muribaculaceae,Lachnospiraceae NK4A136_group,Akkermansia and unclassified Lachnospiraceae increased(P<0.05).Compared with the model group,the diversity and evenness of intestinal flora increased in Kuijie Ankang Decoction group and SASP group,with an increase in the relative abundance of Firmicutes(P<0.05),a decrease in the relative abundance of Bacteroidota and Verrucomicrobiota(P<0.05),the relative abundance of Bacteroidia and Bacilli increased(P<0.05),the relative abundance of Verrucomicrobiae decreased(P<0.05);the relative abundance of unclassified Muribaculaceae and Ligilactobacillus increased(P<0.05),while the relative abundance of Lachnospiraceae NK4A136_group and Akkermansia decreased(P<0.05).Conclusion Kuijie Ankang Decoction can significantly improve the intestinal mucosal injury of UC mice,and the mechanism may be related to the regulation of colon autophagy level and intestinal flora disorder.

The history of cystic fibrosis (CF) can be traced back to the Middle Ages when a salty taste was recognized as an early symptom. In the 1930s, Dorothy Anderson gradually revealed the characteristics and mechanisms of CF through clinical and pathological studies. In 1953, the sweat test became an important tool for diagnosing CF. In 1989, scientists identified the CFTR genes and their association with CF, leading to significant advancement in genetic research and treatment of CF. By tracing the history and research progress of CF, we witness the transition from ancient legends to modern scientific exploration. This journey not only demonstrates the advancement of medical technology but also reflects the continuous deepening of human understanding of diseases, highlighting the immense potential of scientific research in improving human health.

This article reviews the evolution of neonatal cystic fibrosis (CF) screening in Europe and North America, with a focus on the development and clinical application of sweat testing and immunoreactive trypsinogen assays. It highlights the growing recognition of early screening benefits and associated challenges. In China, neonatal CF screening has not been widely implemented due to low disease incidence and atypical clinical presentations, which complicate early diagnosis. Advances in genetic testing technologies and research on CFTR gene variants specific to the Chinese population may drive future progress in screening and therapeutic strategies.

ObjectiveThis study proposes a novel single-cell protein localization method based on a class perception graph convolutional network (CP-GCN) to overcome several critical challenges in protein microscopic image analysis, including the scarcity of cell-level annotations, inadequate feature extraction, and the difficulty in achieving precise protein localization within individual cells. The methodology involves multiple innovative components designed to enhance both feature extraction and localization accuracy. MethodsFirst, a class perception module (CPM) is developed to effectively capture and distinguish semantic features across different subcellular categories, enabling more discriminative feature representation. Building upon this, the CP-GCN network is designed to explore global features of subcellular proteins in multicellular environments. This network incorporates a category feature-aware module to extract protein semantic features aligned with label dimensions and establishes a subcellular relationship mining module to model correlations between different subcellular structures. By doing so, it generates co-occurrence embedding features that encode spatial and contextual relationships among subcellular locations, thereby improving feature representation. To further refine localization, a multi-scale feature analysis approach is employed using the K-means clustering algorithm, which classifies multi-scale features within each subcellular category and generates multi-cell class activation maps (CAMs). These CAMs highlight discriminative regions associated with specific subcellular locations, facilitating more accurate protein localization. Additionally, a pseudo-label generation strategy is introduced to address the lack of annotated single-cell data. This strategy segments multicellular images into single-cell images and assigns reliable pseudo-labels based on the CAM-predicted regions, ensuring high-quality training data for single-cell analysis. Under a transfer learning framework, the model is trained to achieve precise single-cell-level protein localization, leveraging both the extracted features and pseudo-labels for robust performance. ResultsExperimental validation on multiple single-cell test datasets demonstrates that the proposed method significantly outperforms existing approaches in terms of robustness and localization accuracy. Specifically, on the Kaggle 2021 dataset, the method achieves superior mean average precision (mAP) metrics across 18 subcellular categories, highlighting its effectiveness in diverse protein localization tasks. Visualization of the generated CAM results further confirms the model’s capability to accurately localize subcellular proteins within individual cells, even in complex multicellular environments. ConclusionThe integration of the CP-GCN network with a pseudo-labeling strategy enables the proposed method to effectively capture heterogeneous cellular features in protein images and achieve precise single-cell protein localization. This advancement not only addresses key limitations in current protein image analysis but also provides a scalable and accurate solution for subcellular protein studies, with potential applications in biomedical research and diagnostic imaging. The success of this method underscores the importance of combining advanced deep learning architectures with innovative training strategies to overcome data scarcity and improve localization performance in biological image analysis. Future work could explore the extension of this framework to other types of microscopic imaging and its application in large-scale protein interaction studies.

As one of the chronic diseases with high incidence in contemporary society, cervical spondylosis has increasing patient groups who gradually present a low age, and it seriously affects social and public health. Although modern medicine has made great progress in the pathological research and clinical treatment of cervical spondylosis, patients still face gastrointestinal side effects of nonsteroidal anti-inflammatory drugs(NSAIDs), neck pain, limited mobility, upper limb numbness, and other symptoms after conservative or surgical treatment. In the theory of traditional Chinese medicine(TCM), cervical spondylosis belongs to the categories of "Bi syndrome" "stiff neck" "stiff Bi", etc. With the change of the times, the change of lifestyle, and the application of western medicine treatment, the etiology and pathogenesis of TCM in cervical spondylosis also show new characteristics. In terms of etiology and pathogenesis, it involves the invasion of wind, cold, and dampness, long-term strain, liver and kidney deficiency, Qi and blood stasis, which are associated with factors such as cervical degeneration, muscle tension and spasm, intervertebral disc herniation, and nerve root compression in modern medicine. In terms of the evolution of pathogenesis, in the early stage, wind, cold, and dampness, were more common in Xuanfu, resulting in unfavorable muscles and bones, poor flow of Qi and blood, and cervical spondylosis and radiculopathy. Medium-term phlegm stasis and internal knots, sluggish muscles and veins, and long-term weathering and fire are more likely to occur in the vertebral artery and sympathetic radiculopathy. In the later stage, the positive Qi is depleted; the true Yin is damaged, and the viscera Qi and blood are deficient, which is most common in cervical myelopathy. The strategy of treating cervical spondylosis with TCM classic formulas applies Gegen Decoction, Wutou Decoction, Qianghuo Shengshi Decoction, Mahuang Jiazhu Decoction to patients with wind, cold, and dampness. Patients with phlegm dampness and blood stasis are treated with Huoxue Xiaoling Dan, Jinlingzi Powder, Siwu Decoction, Banxia Baizhu Tianma Decoction, Shuanghe Decoction, etc. For those patients with liver, spleen, and kidney deficiency, Huangqi Guizhi Wuwu Decoction, Tianma Gouteng Decoction, Guishao Dihuang Pills, Shenling Baizhu Powder, and Lizhong Decoction are used to invigorate the spleen, nourish Qi and blood, and tonify liver and kidney. In clinical practice, the authors advocate a safe and effective treatment plan of classic formulas based on deficiency and excess, the integration of formulas and syndromes, and the combination of modern research results, so as to relieve symptoms, reduce recurrence, and reduce medical burden.
Humans ; Spondylosis/drug therapy* ; Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal/therapeutic use* ; Cervical Vertebrae/pathology*

Objective:To explore the therapeutic effect of compound Kuijie Ankang Decoction on ulcerative colitis (UC) model mice by non targeted metabonomics; To explore its mechanism.Compound Kuijie Ankang.Methods:The mice were randomly divided into blank control group, model group, Kuijie Ankang Decoction group and sulfasalazine group, with 12 mice in each group. Except the blank control group, the other groups were given 1.5% DSS solution for free drinking to prepare UC model. After successful modeling, Kuijie Ankang Decoction group was intragastrically administered with compound Kuijie Ankang Decoction of 9.68 g/kg, sulfasalazine group was intragastrically administered with sulfasalazine capsule suspension of 320 mg/kg, model group and blank control group were intragastrically administered with equal volume of purified water, once a day, for 7 consecutive days. The body mass and disease activity index (DAI) score of mice were measured. ELISA was used to measure the levels of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), interleukin-6 (IL-6), and interleukin-10 (IL-10) in the colon tissue of mice; the protein expressions of Claudin-1 and Zo-1 in colon tissue were detected by immunofluorescence method. HE staining was used to observe the pathological changes in the colon, and UHPLC-OE-MS technology was used to analyze the endogenous metabolite structure of mouse colon tissue, differential metabolites and related metabolic pathways were screened.Results:Compared with the model group, the colon length in Kuijie Ankang Decoction group and sulfasalazine group increased ( P<0.01), the DAI score decreased ( P<0.01), the levels of TNF-α, IL-1β and IL-6 in colon tissue decreased ( P<0.01), the level of IL-10 increased ( P<0.01), and the average optical density of Claudin-1 and Zo-1 protein increased ( P<0.01 or P<0.05). Metabolomics analysis identified 26 potential differential metabolites, including nicotinamide adenine dinucleotide, guanine, gamma aminobutyric acid, and thiamine, affecting 26 key metabolic pathways, including lysine biosynthesis, thiamine metabolism, cysteine and methionine metabolism. Conclusion:Kuaijie Ankang Decoction may improve metabolites such as Gamma aminobutyric acid and thiamine through metabolic pathways such as lysine biosynthesis to alleviate inflammatory reactions, thereby exerting therapeutic effects on ulcerative colitis in mice.